How do I install the qdrant retrive mcp server?

Use a recorded configuration for your client, replace example credential values and paths, and verify the documented runtime. Restart or reconnect the client, then inspect the available tools.

What credentials does it need?

It reads `QDRANT_API_KEY` from the environment. Store these in your client's env block or a secrets manager — never commit them to a repository — and grant the narrowest scope that still covers your use case.

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Qdrant Retrive MCP Server

MCP server for semantic search with Qdrant vector database

Local serverstdio

What is the Qdrant Retrive MCP Server?

MCP server for semantic search with Qdrant vector database

The short version

Options --enableHttpTransport Enable HTTP transport [default: false] --enableStdioTransport Enable stdio transport [default: true] --enableRestServer Enable REST API server [default: false] --mcpHttpPort= Port for MCP HTTP server [default: 3001] --restHttpPort= Port for REST HTTP server [default: 3002] --qdrantUrl= URL for Qdrant vector database [default: http://localhost:6333] --embeddingModelType= Type of embedding model to use [default: Xenova/all-MiniLM-L6-v2] --help Show this help message

Semantic search across multiple collections
Multi-query support
Configurable result count
Collection source tracking

More MCP options

Compare MCP servers by category, or browse hosted MCP servers if you prefer an endpoint over a local process.

Maintainer setup documentation.

Recorded tools

Check the linked publisher documentation and your connected client's tool list. Names and availability can vary with the server version and account permissions.

Tool	What it does
qdrant_retrieve	Retrieves semantically similar documents from multiple Qdrant vector store collections based on multiple queries
Inputs:	collectionNames (string[]): Names of the Qdrant collections to search across
query	The query that produced this result
Returns:	results: Array of retrieved documents with:
collectionName	Collection name that this result came from
text	Document text content
score	Similarity score between 0 and 1

How to install the Qdrant Retrive MCP Server

{
  "mcpServers": {
    "qdrant": {
      "command": "npx",
      "args": [
        "-y",
        "@gergelyszerovay/mcp-server-qdrant-retrive"
      ],
      "env": {
        "QDRANT_API_KEY": "YOUR_QDRANT_API_KEY"
      }
    }
  }
}

From the project documentation. Replace placeholders and example paths before connecting.

Configuration

Variable	Description	Required
QDRANT_API_KEY	Declared in the maintainer’s client configuration.	Check documentation

Example prompts to try

“Use Qdrant Retrive to qdrant retrieve.”
“Use Qdrant Retrive to Inputs.”
“Use Qdrant Retrive to Returns.”

Frequently asked questions

MCP server for semantic search with Qdrant vector database Confirm the tools offered by your installed version in the connected client. Tool availability and permissions depend on the server and account configuration.